Iris Identification Using Multi-Glint Eye Image Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional eye detecting devices require extensive analysis of the entire eye image to locate the pupil, leading to inefficiencies in determining gaze direction and iris identification.
Innovation Solution
An eye detecting device utilizing an optical assembly with a single light source and light dispersing component to generate multiple incident beams, forming glints near the pupil, and an arithmetic unit to analyze gray scale values to quickly determine the pupil's position and iris deformation, reducing the need for comprehensive image analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional eye detecting devices analyze the gray scale value distribution of the whole eye image to identify the pupil and glint, then the gaze direction can be determined, but the processing time and computational complexity increase significantly
Solution Approach 1:
The patent segments the eye image into multiple regions of interest (ROIs) based on preliminary detection results. Instead of analyzing the entire eye image, the system divides it into distinct areas such as the corneal reflection region, iris region, and pupil region, and processes each region separately. This segmentation reduces the computational load and processing time while maintaining identification accuracy.
Solution Approach 2:
The patent implements preliminary detection steps before full analysis. First, the system performs a quick scan to detect the presence and approximate position of glint and pupil. Based on these preliminary results, it then focuses the detailed gray scale analysis only on relevant regions. This preliminary action eliminates the need to process the entire image at full resolution, reducing overall processing time.
2Loss of information
If conventional eye detecting devices scan the whole eye image to identify the pupil and glint, then complete eye structure information is obtained, but the device complexity and processing requirements increase
Solution Approach 1:
The patent applies different processing qualities and resolutions to different regions of the eye image. High-resolution detailed analysis is applied only to critical regions such as the pupil boundary and glint position, while other regions are processed at lower resolution or skipped entirely. This local quality approach maintains the necessary information for accurate gaze detection while reducing overall system complexity.
Solution Approach 2:
The patent performs partial analysis of the eye image by focusing only on the essential features needed for gaze direction determination. Instead of completely analyzing all eye structures, it selectively processes only the corneal reflection, pupil, and iris boundary regions that are critical for the application, thereby reducing device complexity while maintaining functional effectiveness.
3Measurement precision
If multiple light sources are used to generate multiple incident beams for forming glints, then the pupil position determination becomes more accurate, but the device complexity and cost increase
Solution Approach 1:
The patent merges the functions of multiple light sources into a single integrated optical assembly. Instead of using separate light sources positioned at different locations, it employs one light source combined with a beam splitting component that divides the light into multiple beams. This merging approach achieves the same multiple glint formation effect while reducing device complexity and cost.
Solution Approach 2:
The patent introduces a beam splitting component as an intermediary between the single light source and the eye. This intermediary device takes the light from one source and divides it into multiple incident beams that strike the eye at different angles, creating multiple glints. The beam splitter acts as a mediator that enables multiple beam functionality without requiring multiple light sources, thereby reducing system complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The device enables rapid and accurate determination of the pupil's position and iris deformation by analyzing localized gray scale values, enhancing the efficiency of gaze direction detection and iris identification.
Implementation Method 1
the only single light source is configured to generate light entering into the only one light dispersing component so that the light is divided into the plurality of incident beams entering the eye by the light dispersing component
Implementation Method 2
forming a first measuring glint, a second measuring glint, and a third measuring glint near a pupil of the eye by the incident beams
Data Source
AI summary
A method of identifying an iris includes: providing incident beams entering an eye locating at a reference position; setting a first, a second and a third reference point for locating the eye at the reference position; forming a first, a second and a third measuring glint by the incident beams after the eye moves from the reference position to a measuring position, and positions of the first, the second and the third measuring glint corresponding to the positions of the first, the second and the third reference point; capturing an eye image including a first, a second, a third measuring glint image and an iris image; comparing the gray scale value with a threshold gray scale value to obtain the positions of the first, the second and the third measuring glint; and calculating a first and a second variation to obtain an resolution variation of the iris image.